By Topic

Restoration of Noisy Images Using a Two-Dimensional Linear Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

A restoration technique of noisy images by using a two-dimensional (2-D) linear model is presented. A method of identifying the parameters in the 2-D autoregressive moving average (ARMA) model that is derived from the approximate 2-D recursive filtering algorithm in [10] is developed. The estimates for the performance of image restoration are given in terms of the stationary filter gain and the variance of prediction errors. Simulation studies are also carried out to show the applicability of the present technique.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:9 ,  Issue: 11 )